Bayesian Prediction of Future Observations from Inverse Weibull Distribution Based on Type-II Hybrid Censored Sample

Authors

  • Sanjay Kumar Singh

    Banaras Hindu University , Varanasi, India
  • Umesh Singh

    Banaras Hindu University , Varanasi, India
  • Vikas Kumar Sharma

    Banaras Hindu University , Varanasi, India

Received date: April 23, 2013

Accepted date: May 10, 2013

Published date: May 13, 2013

DOI:

https://doi.org/10.14419/ijasp.v1i2.857

Abstract

In this paper, we have discussed the Bayesian procedure for the prediction of the future samples from inverse Weibull (IW) distribution under Type-II hybrid censoring scheme. Bayes estimators along with the corresponding highest posterior density (HPD) credible intervals have also been constructed for the parameters of IW distribution. The performance of the Bayes estimators of the model parameters has been compared with the maximum likelihood estimators through Monte Carlo Markov chain (MCMC) techniques. Finally, a real data set has been analyzed to illustrate the discussed methodology.

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Received date: April 23, 2013

Accepted date: May 10, 2013

Published date: May 13, 2013